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SKILL verified MIT Self-run

Gemini

skill-g1joshi-agent-skills-gemini · by G1Joshi

Google Gemini AI models for multimodal tasks. Use for multimodal AI.

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Install

$ agentstack add skill-g1joshi-agent-skills-gemini

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Gemini

Gemini is Google's native multimodal model. Uniquely, it accepts video and huge context (2M+ tokens) natively. 2025 sees Gemini 2.0/3.0.

When to Use

  • Massive Context: "Here is a 1-hour video. Find the timestamp where..."
  • Multimodal Live: Real-time voice/video interaction.
  • Google Ecosystem: Integrated with Vertex AI, Search (Grounding), and Workspace.

Core Concepts

Models

  • Pro: The best all-rounder.
  • Flash: Extremely fast and cheap. High throughput.
  • Ultra: The largest reasoning model.

Grounding

Connects the model to Google Search to provide citations and up-to-date info.

Context Initial Caching

Cache the context (e.g., a massive manual) to reduce cost/latency on subsequent queries.

Best Practices (2025)

Do:

  • Use Flash for RAG: 2.0 Flash is smart enough for most RAG & cheaper/faster.
  • Use Grounding: Eliminate hallucinations by enforcing "Google Search" grounding.
  • Upload Video: Don't transcribe video manually; Gemini watches it.

Don't:

  • Don't confuse with PaLM: Gemini replaced PaLM 2 completely.

References

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.

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